- #1
neurocomp2003
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What the title says.
Best
Jack
Best
Jack
neurocomp2003 said:heh 1st reply a month after i posted.
well the point of the thread was to see if some discussion could be made into the field of computational or Mathematical neuroscience. Meaning the methods that people do research in these areas either via math, physics, neuropsych experiments, or computer simulation(in robots or VR). DO they use spiking neurons, ANNs, QNNs, GAs in areas of vision, audition spatial navigation, language, sensorimotor. Do they model whole systems or brain parts etc.
What tools do they use? DEs or 3D graphics or matlab?
neurocomp2003 said:I know of certain groups that do such modelling...
eg UCL(burgess&Okeefe) France(can't remmeber the name) CMU/UPitts(a big one because of their cs and robotics depts,touretzky,ermentrout), UCalgary, UBC, and McMaster(becker,haykin) and of course MIT.
do you know anything about computational vision? How to start modelling?
Mathematical/Computational Neuroscience is an interdisciplinary field that combines principles and methods from mathematics, computer science, and neuroscience to study the brain and its functions. It involves using mathematical models, simulations, and data analysis techniques to better understand the complex processes that underlie brain function and behavior.
The main goals of Mathematical/Computational Neuroscience are to develop quantitative models of brain function and behavior, to uncover underlying principles of brain organization and information processing, and to provide insights into neurological disorders and potential treatments.
Some key techniques used in Mathematical/Computational Neuroscience include data analysis, statistical modeling, machine learning, neural network modeling, and simulation of neural systems. These techniques are used to analyze and interpret data from various sources, such as brain imaging, electrophysiology, and behavioral experiments.
Some current research topics in Mathematical/Computational Neuroscience include studying the neural mechanisms underlying learning and memory, developing models of decision-making and behavior, understanding brain networks and their dynamics, and investigating the role of neural coding and information processing in brain function.
The potential applications of Mathematical/Computational Neuroscience are vast and include advancements in brain-computer interfaces, artificial intelligence, and treatments for neurological disorders. It may also lead to a better understanding of the brain and its functions, which could have implications for improving education and enhancing human performance.